Papers with automatic distractor generation

    1 papers
    Automatic Distractor Generation for Multiple Choice Questions in Standard Tests (2020.coling-main)

    Copied to clipboard

    Challenge: Existing methods to generate distractors for multiple choice questions are expensive and time-consuming.
    Approach: They propose a question and answer guided distractor generation framework to automate distractors generated by domain experts.
    Outcome: The proposed model outperforms existing models and achieves state-of-the-art on a large-scale dataset.

    What is GenGO?

    GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

    Information

    About
    Limitations